Genetic Relationships for Dairy Performance Between Large-Scale and Small-Scale Farm Conditions
Genotype by environment interaction can be detected via the estimation of genetic correlations between environments under an animal model based on data comprising genetic links between the strata. Genetic correlations were estimated for protein yield of Holstein cows within and across regions of Ger...
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Veröffentlicht in: | Journal of dairy science 2005-11, Vol.88 (11), p.4087-4096 |
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creator | König, S. Dietl, G. Raeder, I. Swalve, H.H. |
description | Genotype by environment interaction can be detected via the estimation of genetic correlations between environments under an animal model based on data comprising genetic links between the strata. Genetic correlations were estimated for protein yield of Holstein cows within and across regions of Germany using REML under an animal model for lactation and test-day records. Subsets of the entire data were created, stratified by region or herd size within region, and comprised between 16,307 and 132,972 cows with first-lactation records. Substantial heterogeneity exists between regions in Western and Eastern Germany. In Western states, most farms are small, with typical herd sizes of 30 to 60 cows, whereas in Eastern states, mostly large herds with herd sizes of 500 to 2000 cows are common. The results show drastic differences for residual and permanent environmental variance components between Eastern and Western regions with increases of around 30% for Eastern regions. Additive genetic variances were of similar magnitude in both regions. Genetic correlations between Eastern and Western states were between 0.90 and 0.95 but dropped to 0.79 when data from an Eastern state were reduced to contain large herds only. The results indicate that differences in herd size account for more of the differences in genetic correlation than do geographic regional differences. |
doi_str_mv | 10.3168/jds.S0022-0302(05)73093-9 |
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Genetic correlations were estimated for protein yield of Holstein cows within and across regions of Germany using REML under an animal model for lactation and test-day records. Subsets of the entire data were created, stratified by region or herd size within region, and comprised between 16,307 and 132,972 cows with first-lactation records. Substantial heterogeneity exists between regions in Western and Eastern Germany. In Western states, most farms are small, with typical herd sizes of 30 to 60 cows, whereas in Eastern states, mostly large herds with herd sizes of 500 to 2000 cows are common. The results show drastic differences for residual and permanent environmental variance components between Eastern and Western regions with increases of around 30% for Eastern regions. Additive genetic variances were of similar magnitude in both regions. Genetic correlations between Eastern and Western states were between 0.90 and 0.95 but dropped to 0.79 when data from an Eastern state were reduced to contain large herds only. The results indicate that differences in herd size account for more of the differences in genetic correlation than do geographic regional differences.</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.S0022-0302(05)73093-9</identifier><identifier>PMID: 16230713</identifier><identifier>CODEN: JDSCAE</identifier><language>eng</language><publisher>Savoy, IL: Elsevier Inc</publisher><subject>Animal productions ; Animals ; Biological and medical sciences ; Cattle - genetics ; dairy farming ; Dairying - methods ; Environment ; Female ; Food industries ; Fundamental and applied biological sciences. Psychology ; genetic correlation ; genotype × environment interaction ; genotype-environment interaction ; Germany ; Lactation - genetics ; large farms ; large-scale farm ; Milk - chemistry ; Milk and cheese industries. Ice creams ; milk production ; milk protein yield ; Milk Proteins - analysis ; Population Density ; small-scale farm ; small-scale farming ; Terrestrial animal productions ; Vertebrates</subject><ispartof>Journal of dairy science, 2005-11, Vol.88 (11), p.4087-4096</ispartof><rights>2005 American Dairy Science Association</rights><rights>2005 INIST-CNRS</rights><rights>Copyright American Dairy Science Association Nov 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c626t-deae27f69fc4e8ad2a73c91d678909b72320f7063a4dd39a65522cdbbb105a7b3</citedby><cites>FETCH-LOGICAL-c626t-deae27f69fc4e8ad2a73c91d678909b72320f7063a4dd39a65522cdbbb105a7b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.3168/jds.S0022-0302(05)73093-9$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27922,27923,45993</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17231442$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16230713$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>König, S.</creatorcontrib><creatorcontrib>Dietl, G.</creatorcontrib><creatorcontrib>Raeder, I.</creatorcontrib><creatorcontrib>Swalve, H.H.</creatorcontrib><title>Genetic Relationships for Dairy Performance Between Large-Scale and Small-Scale Farm Conditions</title><title>Journal of dairy science</title><addtitle>J Dairy Sci</addtitle><description>Genotype by environment interaction can be detected via the estimation of genetic correlations between environments under an animal model based on data comprising genetic links between the strata. Genetic correlations were estimated for protein yield of Holstein cows within and across regions of Germany using REML under an animal model for lactation and test-day records. Subsets of the entire data were created, stratified by region or herd size within region, and comprised between 16,307 and 132,972 cows with first-lactation records. Substantial heterogeneity exists between regions in Western and Eastern Germany. In Western states, most farms are small, with typical herd sizes of 30 to 60 cows, whereas in Eastern states, mostly large herds with herd sizes of 500 to 2000 cows are common. The results show drastic differences for residual and permanent environmental variance components between Eastern and Western regions with increases of around 30% for Eastern regions. Additive genetic variances were of similar magnitude in both regions. Genetic correlations between Eastern and Western states were between 0.90 and 0.95 but dropped to 0.79 when data from an Eastern state were reduced to contain large herds only. The results indicate that differences in herd size account for more of the differences in genetic correlation than do geographic regional differences.</description><subject>Animal productions</subject><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>Cattle - genetics</subject><subject>dairy farming</subject><subject>Dairying - methods</subject><subject>Environment</subject><subject>Female</subject><subject>Food industries</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>genetic correlation</subject><subject>genotype × environment interaction</subject><subject>genotype-environment interaction</subject><subject>Germany</subject><subject>Lactation - genetics</subject><subject>large farms</subject><subject>large-scale farm</subject><subject>Milk - chemistry</subject><subject>Milk and cheese industries. Ice creams</subject><subject>milk production</subject><subject>milk protein yield</subject><subject>Milk Proteins - analysis</subject><subject>Population Density</subject><subject>small-scale farm</subject><subject>small-scale farming</subject><subject>Terrestrial animal productions</subject><subject>Vertebrates</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkVtvEzEQRi0EomngL8CCxO1hiy_r9foRAi1IkUCEPlteezZxtJdgb1r13zPJRlTiBZ6skc5845lDyAtGLwQrq_dbny5WlHKeU0H5WyrfKUG1yPUDMmOSy1wwXT0ksz_IGTlPaYsl41Q-Jmes5IIqJmbEXEEPY3DZD2jtGIY-bcIuZc0Qs082xLvsO0QsOts7yD7CeAvQZ0sb15CvnG0hs73PVp1t21N9aWOXLYbeh2PaE_KosW2Cp6d3Tq4vP_9cfMmX366-Lj4sc1fycsw9WOCqKXXjCqis51YJp5kvVaWprhUXnDaKlsIW3gttSyk5d76ua0alVbWYk9dT7i4Ov_aQRtOF5KBtbQ_DPpmyUoyKkv0TxBOJirMKwZd_gdthH3tcwjAtlZYFfmdO9AS5OKQUoTG7GDob7wyj5uDKoCtzdGUOIgyV5ujKaOx9dhqwrzvw950nOQi8OgE24W2biBJCuufwKqwoOHJvJm4T1pvbEMGkgxCMZYfxVWUYMwWtFJLPJ7Kxg7HriGnXK06ZoHgcyTVFYjERgLJuAkSTXACU7zHXjcYP4T9W-w0vecjV</recordid><startdate>20051101</startdate><enddate>20051101</enddate><creator>König, S.</creator><creator>Dietl, G.</creator><creator>Raeder, I.</creator><creator>Swalve, H.H.</creator><general>Elsevier Inc</general><general>Am Dairy Sci Assoc</general><general>American Dairy Science Association</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L6V</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>S0X</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20051101</creationdate><title>Genetic Relationships for Dairy Performance Between Large-Scale and Small-Scale Farm Conditions</title><author>König, S. ; Dietl, G. ; Raeder, I. ; Swalve, H.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c626t-deae27f69fc4e8ad2a73c91d678909b72320f7063a4dd39a65522cdbbb105a7b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Animal productions</topic><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>Cattle - genetics</topic><topic>dairy farming</topic><topic>Dairying - methods</topic><topic>Environment</topic><topic>Female</topic><topic>Food industries</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>genetic correlation</topic><topic>genotype × environment interaction</topic><topic>genotype-environment interaction</topic><topic>Germany</topic><topic>Lactation - genetics</topic><topic>large farms</topic><topic>large-scale farm</topic><topic>Milk - chemistry</topic><topic>Milk and cheese industries. Ice creams</topic><topic>milk production</topic><topic>milk protein yield</topic><topic>Milk Proteins - analysis</topic><topic>Population Density</topic><topic>small-scale farm</topic><topic>small-scale farming</topic><topic>Terrestrial animal productions</topic><topic>Vertebrates</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>König, S.</creatorcontrib><creatorcontrib>Dietl, G.</creatorcontrib><creatorcontrib>Raeder, I.</creatorcontrib><creatorcontrib>Swalve, H.H.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>SIRS Editorial</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>König, S.</au><au>Dietl, G.</au><au>Raeder, I.</au><au>Swalve, H.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetic Relationships for Dairy Performance Between Large-Scale and Small-Scale Farm Conditions</atitle><jtitle>Journal of dairy science</jtitle><addtitle>J Dairy Sci</addtitle><date>2005-11-01</date><risdate>2005</risdate><volume>88</volume><issue>11</issue><spage>4087</spage><epage>4096</epage><pages>4087-4096</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><coden>JDSCAE</coden><abstract>Genotype by environment interaction can be detected via the estimation of genetic correlations between environments under an animal model based on data comprising genetic links between the strata. Genetic correlations were estimated for protein yield of Holstein cows within and across regions of Germany using REML under an animal model for lactation and test-day records. Subsets of the entire data were created, stratified by region or herd size within region, and comprised between 16,307 and 132,972 cows with first-lactation records. Substantial heterogeneity exists between regions in Western and Eastern Germany. In Western states, most farms are small, with typical herd sizes of 30 to 60 cows, whereas in Eastern states, mostly large herds with herd sizes of 500 to 2000 cows are common. The results show drastic differences for residual and permanent environmental variance components between Eastern and Western regions with increases of around 30% for Eastern regions. Additive genetic variances were of similar magnitude in both regions. Genetic correlations between Eastern and Western states were between 0.90 and 0.95 but dropped to 0.79 when data from an Eastern state were reduced to contain large herds only. The results indicate that differences in herd size account for more of the differences in genetic correlation than do geographic regional differences.</abstract><cop>Savoy, IL</cop><pub>Elsevier Inc</pub><pmid>16230713</pmid><doi>10.3168/jds.S0022-0302(05)73093-9</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animal productions Animals Biological and medical sciences Cattle - genetics dairy farming Dairying - methods Environment Female Food industries Fundamental and applied biological sciences. Psychology genetic correlation genotype × environment interaction genotype-environment interaction Germany Lactation - genetics large farms large-scale farm Milk - chemistry Milk and cheese industries. Ice creams milk production milk protein yield Milk Proteins - analysis Population Density small-scale farm small-scale farming Terrestrial animal productions Vertebrates |
title | Genetic Relationships for Dairy Performance Between Large-Scale and Small-Scale Farm Conditions |
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